To The Moon

$Alphabet(GOOG)$ invested in to make $200B so far: 1. SPACEX → ~$1.25T–$2T Satellite internet + launch dominance, controls global infrastructure 2. Anthropic → ~$350B–$1T+ Frontline AI models powering enterprise + next-gen intelligence stack 3. Databricks → ~$134B AI + data backbone enabling enterprises to train and deploy models 4. Stripe → ~$150B+ Global payments infrastructure powering internet commerce and financial rails 5. Epic Games → ~$30B+ (est.) Owns Unreal Engine, building metaverse + real-time 3D ecosystems 6. $AST SpaceMobile, Inc.(ASTS)$ → ~$5B–$10B (est.) Space-based cellular network connecting phones directly via satellites 7. Planet Labs → ~$2B–$4B (est.) Earth data + geospatial intellige

$SPDR S&P 500 ETF Trust(SPY)$ GAMMA analysis for April 30: Spot Price: 715.33 Total Net GEX: +3.91B (POSITIVE GAMMA) This is a major shift in regime compared to earlier sessions. The market has transitioned from negative gamma (volatile, unstable) into positive gamma, which typically results in more controlled, range-bound price action. MARKET STRUCTURE The GEX profile is now heavily concentrated above and around current price, especially near: 715 (largest concentration) 716–720 (stacked positive gamma above) 710–712 (support band below) This tells you that dealers are now long gamma, which changes how the market behaves. WHAT POSITIVE GAMMA MEANS When dealers are long gamma: They sell into strength (caps upside) They buy into weakness (suppor

$SPDR S&P 500 ETF Trust(SPY)$ at 711.6 heavy negative gamma, unstable structure, downside pressure building Gamma Structure (Big Picture) Total Net GEX: –6.52B → deeply negative gamma Dealers are short gamma → forced to chase price This amplifies moves in both directions, but with current positioning → downside moves accelerate faster Translation: volatile, trend-prone environment no more pinning Primary Control / Pivot: 712 Large negative cluster at 712 (–1.2B) This level has flipped into a rejection zone / pivot Price below = dealers hedge short → push lower Price above = temporary stability, but weak Upside Structure (Resistance Ladder) 712: immediate resistance / pivot 715: next resistance (call supply rebuilding) 720: major call wall / ups

In 2 years, $Lumentum(LITE)$ ripped from $50 to $900 up 1800% But, LITE was losing $100,000,000+ per quarter (see financials) Here's 3 stocks with the exact same set-up to make 1000%-2000% in less than 2 years: 1. $AXT Inc(AXTI)$ (AXT Inc.)→ Makes the indium phosphide (InP) wafers that every AI laser runs on. Record $60M backlog. Plans to double capacity by end of 2026. → Still losing money. Revenue dipped in 2025. Market hasn't priced the inflection yet. Stock already up 5,000%+ past year but was at pennies. 2. $Lightwave Logic, Inc.(LWLG)$ (Lightwave Logic)→ Pre-revenue. $237K in sales. $20M net loss. Sounds terrible that's the point. → 4 Fortune 500 companies

The most important week of 2026 for $SPDR S&P 500 ETF Trust(SPY)$ : SPY is setting up for a continuation move higher toward 720, with a stretch to 730 if momentum sustains. The market has already absorbed a lot of uncertaintyrates, inflation noise, US-IRAN war and is now shifting focus back to what actually drives price: earnings, liquidity, and positioning. Here’s the setup: 1. Earnings Strength (Mega Caps Leading) AI-driven revenue growth continues to beat expectations. Margins expanding despite macro headwinds Strong guidance reinforcing forward demand 2. Dovish Fed Expectations Rates likely unchanged → no new pressure on equities Inflation elevated but stabilizing → allows patience Market pricing in eventual easing cycle 3. Strong Money Inf

$POET Technologies Inc(POET)$ spiked from $1 to $16 so far in 2 years. But, no one is focused on $Lightwave Logic, Inc.(LWLG)$ at $12 right now. 4 insane reasons why this can break $100+ quickly: 1. They own the material that makes light move faster. Lightwave Logic's Perkinamine EO polymers can modulate data at speeds lithium niobate and indium phosphide physically can't match. When the industry hits the wall on 1.6T and pushes to 3.2T, LWLG's polymer becomes the only viable path forward. First-mover in a market with no real competition. 2. 4 Fortune 500 companies are already in Stage 3 design-wins. Stage 3 means they're past proof-of-concept. These are real qualification cycles with real hyperscaler sup

10 years ago, $Advanced Micro Devices(AMD)$ was at $2. Today it's at $344 up 17,000%. And the next target is $600 making AMD a $1 trillion company within 2 years. Here's why the move is real: 1. Intel's earnings proved the "Agentic AI" era needs far more CPU power AMD's EPYC chips and Helios rack platforms are at the center of that shift. 2. Stifel just raised AMD's price target to $320, citing multi-gigawatt AI deals with Meta and OpenAI AMD just crossed $500B market cap for the first time up 45% in April alone, 11-day win streak 3.The CPU-to-GPU ratio in AI servers is flipping a massive new revenue catalyst the market is only starting to price in The CPU renaissance is real. AMD isn't done.

$Tesla Motors(TSLA)$ beat EPS expectations at $0.41 vs $0.37 and made $22.38B. Here's why it SPIKED then crashed...🚩 The single largest driver of the profitability improvement was "one-time benefits related to warranty and tariffs" not cost cuts, not volume growth, not FSD revenue. This is not good. Tesla built over 50,000 more vehicles than it sold, signaling significant inventory buildup. You don't want cars sitting on lots. Remember, net income was only $477M on $22.4B in revenue a 2.1% net margin while the company trades at over 150x GAAP earnings. Energy storage revenue fell 12% YoY sec, which was supposed to be Tesla's fastest-growing segment. So pay attention, the quality of the beat is questionable it was built on one-time items, not organ

ALL TRADERS should write down their trading mistakes (emotional mistakes) then as you master them ✅it off. The miillionaire trader means making little to 0 errors while in a trade: The 20 most common trading mistakes (ranked easiest → hardest to fix): 1. Overcomplicating charts (too many indicators) 2. Trading outside your time window 3. Not having a clear entry plan 4. Not defining stop loss before entry 5. Ignoring higher timeframe levels 6. Trading low-quality setups out of boredom 7. Not journaling trades 8. Inconsistent position sizing 9. Moving stop losses (breaking risk rules) 10. Revenge trading after a loss 11. Overtrading (too many trades per day) 12. Chasing price (late entries) 13. Trading based on P&L instead of price action 14. Letting one trade define your day 15. Not th

Exactly 2 years ago, $AST SpaceMobile, Inc.(ASTS)$ was at $2 and ran to $120+ this year. It ran 6000%. Its revenue went from $500K to $71M. Here's 8 stocks that can run 2000%-5000% under $5: 1. $Sidus Space Inc.(SIDU)$ Defense SHIELD contract + AI satellite data service scaling fast in 2026. 2. $KULR Technology Group, Inc.(KULR)$ Battery tech revenue grew 51% YoY; scaling to 50,000 packs monthly by mid-2026. 3. $BigBear.ai Holdings(BBAI)$ Defense AI platform pivoting to higher-margin model amid surging U.S. defense AI spending. 4. $SoundHound AI Inc(SOUN)$ Voice AI embedding int